Investigation of the Knowledge Levels and Expectations of Medical Faculty Students on the Use of Artificial Intelligence in Prescribing

Metin Deniz Karakoç; Hatice Durusoy; Eren Özdemir; Emine Bilek

Makale detayları

Investigation of the Knowledge Levels and Expectations of Medical Faculty Students on the Use of Artificial Intelligence in Prescribing

Yazarlar:

Metin Deniz Karakoç | Hatice Durusoy | Eren Özdemir | Emine Bilek

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Tıbbi Farmakoloji

Dergi:

Osmangazi Tıp Dergisi Vol.46 Issue 6, pp.842-851

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001323745

pISSN:

1305-4953

Anahtar kelimeler:

Özet:

 Artificial Intelligence AI is utilized in various fields of medicine and is currently a significant focus of research in treatment planning. Our study aims to investigate the knowledge levels and expectations of medical students, the future physicians, regarding the role of AI in the prescription process. The research was conducted through a 15-question survey with participation from a total of 341 students from all classes of the medical faculty. The study found that male students currently use AI significantly more than female students p0.0001. Among the participants, 90.3 indicated that they might prefer to use AI when writing prescriptions, while 87.7 believed that the use of AI would expedite and simplify the prescription process. The majority of participants stated that AI could contribute to rational drug use by reducing prescription errors and the average cost of prescriptions. Additionally, 93.8 of the students expressed that they would consult AI for quicker results or as a suggestion tool but would rely on it only with their own supervision. Conversely, 46.3 of the participants felt that the use of AI could harm the doctor-patient relationship in the future. When asked whether AI could eventually replace physicians, 90.6 of the participants responded negatively. Among these, 81.55 believed that AI could be an important auxiliary tool used by physicians. It was observed that a significantly higher number of female students compared to male students held this opinion p0.0001. Furthermore, 78 of the students indicated that comprehensive education on the use of AI in medicine should be provided in medical schools.

 Artificial Intelligence AI is utilized in various fields of medicine and is currently a significant focus of research in treatment planning. Our study aims to investigate the knowledge levels and expectations of medical students, the future physicians, regarding the role of AI in the prescription process. The research was conducted through a 15-question survey with participation from a total of 341 students from all classes of the medical faculty. The study found that male students currently use AI significantly more than female students p0.0001. Among the participants, 90.3 indicated that they might prefer to use AI when writing prescriptions, while 87.7 believed that the use of AI would expedite and simplify the prescription process. The majority of participants stated that AI could contribute to rational drug use by reducing prescription errors and the average cost of prescriptions. Additionally, 93.8 of the students expressed that they would consult AI for quicker results or as a suggestion tool but would rely on it only with their own supervision. Conversely, 46.3 of the participants felt that the use of AI could harm the doctor-patient relationship in the future. When asked whether AI could eventually replace physicians, 90.6 of the participants responded negatively. Among these, 81.55 believed that AI could be an important auxiliary tool used by physicians. It was observed that a significantly higher number of female students compared to male students held this opinion p0.0001. Furthermore, 78 of the students indicated that comprehensive education on the use of AI in medicine should be provided in medical schools.

 Artificial Intelligence AI is utilized in various fields of medicine and is currently a significant focus of research in treatment planning. Our study aims to investigate the knowledge levels and expectations of medical students, the future physicians, regarding the role of AI in the prescription process. The research was conducted through a 15-question survey with participation from a total of 341 students from all classes of the medical faculty. The study found that male students currently use AI significantly more than female students p0.0001. Among the participants, 90.3 indicated that they might prefer to use AI when writing prescriptions, while 87.7 believed that the use of AI would expedite and simplify the prescription process. The majority of participants stated that AI could contribute to rational drug use by reducing prescription errors and the average cost of prescriptions. Additionally, 93.8 of the students expressed that they would consult AI for quicker results or as a suggestion tool but would rely on it only with their own supervision. Conversely, 46.3 of the participants felt that the use of AI could harm the doctor-patient relationship in the future. When asked whether AI could eventually replace physicians, 90.6 of the participants responded negatively. Among these, 81.55 believed that AI could be an important auxiliary tool used by physicians. It was observed that a significantly higher number of female students compared to male students held this opinion p0.0001. Furthermore, 78 of the students indicated that comprehensive education on the use of AI in medicine should be provided in medical schools.

 Yapay Zekâ YZ, tıbbın pek çok alanında kullanılmakta olup, günümüzde tedavi planlaması konusunda da yoğun olarak araştırılmaktadır. Çalışmamızda geleceğin hekimleri olan tıp fakültesi öğrencilerinin YZ ve reçete yazımı sürecinde üstleneceği rol konusundaki bilgi düzeyleri ve beklentilerinin araştırılması amaçlanmıştır. Araştırma, 15 soruluk bir anket formu aracılığı ile tıp fakültesinin her sınıfından toplam 341 öğrencinin katılımı ile gerçekleştirilmiştir. Çalışmada erkek öğrencilerin kızlara kıyasla hali hazırda YZyı önemli oranda daha fazla kullanmakta olduğu belirlenmiştir p0,0001. Katılımcıların 90,3ü reçete yazarken YZ kullanmayı tercih edebileceklerini belirtirken; 87,7si YZ kullanımının reçete yazma sürecinde işlerini hızlandıracağını ve kolaylaştıracağını düşündüklerini ifade etmiştir. Katılımcıların çoğunluğu YZ kullanımının reçete hatalarını ve reçete ortalama maliyetlerini azaltarak akılcı ilaç kullanımına katkı sağlayabileceğini belirtmiştir. Öğrencilerin 93,8i YZya daha hızlı olmak ya da bir fikir vermesi amacıyla başvurabileceğini ve ancak kendi kontrolünü yapmak kaydıyla güvenebileceğini beyan etmiştir. Diğer yandan katılımcıların 46,3ü YZ kullanımının gelecekte hasta-hekim ilişkisine zarar vereceğini belirtmiştir. YZnın, zamanla hekimin yerini alıp alamayacağı sorusuna katılımcıların 90,6sı alamayacağı yönünde yanıt vermiştir. Bu öğrencilerin 81,55i YZnın ancak hekimin kullandığı önemli bir yardımcı enstrüman olabileceğini beyan etmişlerdir. Bu şekilde düşünen kız öğrencilerin sayısının erkek öğrenci sayısına göre önemli derecede fazla olduğu saptanmıştır p0,0001. Öğrencilerin 78i tıp fakültelerinde YZnin tıpta kullanımı konusunda kapsamlı bir eğitim verilmesi gerektiğini belirtmiştir. Hekim adaylarındaki genel istek, YZnın tıpta hangi sürecin içerisinde kullanılırsa kullanılsın son kararı verenin yine bir hekim olması gerektiği yönündedir. Ancak ivedi olarak mevzuat düzenlemelerine ve tıp fakültelerinde bu konuda kapsamlı eğitimler verilmesine ihtiyaç bulunmaktadır.

Makale detayları

Investigation of the Knowledge Levels and Expectations of Medical Faculty Students on the Use of Artificial Intelligence in Prescribing

Yazarlar:

Metin Deniz Karakoç | Hatice Durusoy | Eren Özdemir | Emine Bilek

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Tıbbi Farmakoloji

Dergi:

Osmangazi Tıp Dergisi Vol.46 Issue 6, pp.842-851

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001323745

pISSN:

1305-4953

Artificial intelligence

deep learning

drug prescription

rational drug use

medical educationYapay zekâ

derin öğrenme

ilaç reçetesi

akılcı ilaç kullanımı

tıp eğitimi

Sayı

Makale detayları

Yazarlar: Metin Deniz Karakoç | Hatice Durusoy | Eren Özdemir | Emine Bilek

Yayıncı: Eskişehir Osmangazi University

Ana Başlıklar: Tıbbi Farmakoloji

Dergi: Osmangazi Tıp Dergisi Vol.46 Issue 6, pp.842-851

Belge Tipi: Makale

Yayın Tarihi: 7/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001323745

pISSN: 1305-4953

Sayı

Yazarlar:

Metin Deniz Karakoç | Hatice Durusoy | Eren Özdemir | Emine Bilek

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Tıbbi Farmakoloji

Dergi:

Osmangazi Tıp Dergisi Vol.46 Issue 6, pp.842-851

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001323745

pISSN:

1305-4953